The paper by Eric Zhou and Dokyun Lee explores the impact of generative artificial intelligence (AI) on human creativity and artistic productivity. Using a dataset of over 4 million artworks from more than 50,000 unique users, the authors find that text-to-image AI significantly enhances human creative productivity by 25% and increases the value of artworks, measured by the likelihood of receiving a favorite per view, by 50%. While peak Content Novelty (focal subject matter and relations) increases over time, average Content Novelty declines, indicating an expanding but inefficient idea space. Visual Novelty (pixel-level stylistic elements) consistently decreases. Artists who successfully explore novel ideas and filter model outputs for coherence benefit the most from AI tools. The adoption of generative AI also leads to a less concentrated distribution of favorites among adopters, suggesting a more democratized and inclusive creative domain. The authors term this phenomenon "generative synesthesia," highlighting the harmonious blend of human exploration and AI exploitation in discovering new creative workflows. The findings underscore the importance of human ideation and artistic filtering skills in the future of human-AI creative processes.The paper by Eric Zhou and Dokyun Lee explores the impact of generative artificial intelligence (AI) on human creativity and artistic productivity. Using a dataset of over 4 million artworks from more than 50,000 unique users, the authors find that text-to-image AI significantly enhances human creative productivity by 25% and increases the value of artworks, measured by the likelihood of receiving a favorite per view, by 50%. While peak Content Novelty (focal subject matter and relations) increases over time, average Content Novelty declines, indicating an expanding but inefficient idea space. Visual Novelty (pixel-level stylistic elements) consistently decreases. Artists who successfully explore novel ideas and filter model outputs for coherence benefit the most from AI tools. The adoption of generative AI also leads to a less concentrated distribution of favorites among adopters, suggesting a more democratized and inclusive creative domain. The authors term this phenomenon "generative synesthesia," highlighting the harmonious blend of human exploration and AI exploitation in discovering new creative workflows. The findings underscore the importance of human ideation and artistic filtering skills in the future of human-AI creative processes.